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https://issues.apache.org/jira/browse/SPARK-17241?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Junyang Qian updated SPARK-17241:
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Description: Spark has configurable L2 regularization parameter for
generalized linear regression. It is very important to have them in SparkR so
that users can run ridge regression. (was: Spark has configurable L2
regularization parameter for linear regression and an additional elastic-net
parameter for generalized linear model. It is very important to have them in
SparkR so that users can run ridge regression and elastic-net.)
> SparkR spark.glm should have configurable regularization parameter
> ------------------------------------------------------------------
>
> Key: SPARK-17241
> URL: https://issues.apache.org/jira/browse/SPARK-17241
> Project: Spark
> Issue Type: Improvement
> Reporter: Junyang Qian
>
> Spark has configurable L2 regularization parameter for generalized linear
> regression. It is very important to have them in SparkR so that users can run
> ridge regression.
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